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02 May 2018 Photo Charl Devenish
South Campus UAP celebrates 27 years of access to education
Mr Francois Marais, Prof Kalie Strydom, Prof Daniella Coetzee (South Campus Principal), Prof Francis Petersen, Dr Nthabeleng Rammile (Vice-Chairperson of the UFS Council), and Dr Khotso Mokhele (Chancellor of the UFS).

More than 27 years ago, international funding from the Human Sciences Research Council and Anglo American was put to an unusual use for that time. Prof Kalie Strydom’s research unit at the University of the Free State (UFS) was tasked with reviewing how institutional missions would change in the new South Africa. Prof Strydom worked closely with surrounding communities in Bloemfontein to develop a bridging course which would help students who showed potential to access tertiary education, although they did not meet the requirements. His vision brought to birth the University Access Programme (UAP), as it is known today, which is hosted on the UFS South Campus, and is still providing unique access to higher-education institutions in South Africa.

People with a passion for human development
March 2018 saw the 27th anniversary of this remarkable initiative, which has given a second chance to over 18 000 students. Special guests at the event included Prof Strydom, Mr Francois Marais, and representatives from the Department of Higher Education and Training and Investec’s corporate social investment office.

Dr Sonja Loots, researcher in the UFS Centre for Teaching and Learning (CTL), singled out two key individuals in the formation of the UAP: Prof Kalie Strydom, who initiated the programme, and Mr Marais, who has been Director of the UAP since its inception. Dr Loots highlighted one of the driving forces behind Prof Strydom’s perseverance, vision, and determination with the UAP by quoting from an interview with him for an upcoming book on student access and success. He said, “It was a decision based on principle … to be part of the solution to a better country.”

Access and success still an issue today
In his presentation on the “Importance of Access”, Prof Francis Petersen, Rector and Vice-Chancellor of the UFS, pointed out the vital role of access in South Africa, especially the value it offers for the betterment of the country’s people. However, he said that student success is also an issue, and institutions need to be accountable for it. Quoting Prof John Martin of the University of Cape Town’s Faculty of Engineering, “We must be flexible on access, but robust on success.” Only by “closing the loop” in this way, can the UFS and other higher-education institutions ensure a valuable contribution to the economy of the country.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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